Sina Safari | Mathematical Modeling | Best Researcher Award

Posted on by Math Scientist

Dr. Sina Safari | Mathematical Modeling | Best Researcher Award

Senior research associate at University of Bristol, United Kingdom

Dr. Sina Safari 🎓 is a dynamic Senior Research Associate in Data Science for Material Engineering at the University of Bristol 🇬🇧, specializing in nonlinear dynamics, structural integrity, and AI/ML applications in engineering 💡🤖. With a Ph.D. in Dynamics and Control from the University of Exeter and a Global Talent Visa, he has authored numerous impactful publications 📚 in top-tier journals and conferences. His research integrates physics-informed machine learning, multiscale modeling, and fatigue testing to address real-world engineering challenges 🔬⚙️. A passionate educator 👨‍🏫 and Associate Fellow of the Higher Education Academy, he has also contributed to multiple high-profile research projects including SINDRI and ADDISONIC partnerships. Dr. Safari’s international collaborations, innovation in structural modeling, and leadership in research bids make him a rising force in computational and experimental mechanics 🌍🏗️.

Professional Profile 

Google Scholar
Scopus Profile
ORCID Profile

🎓 Education

Dr. Sina Safari holds a Ph.D. in Dynamics and Control from the University of Exeter, UK 🇬🇧, where his research focused on data-driven, physics-informed modeling of nonlinear dynamical systems from vibration data 📈🔬. Prior to this, he earned an M.S. in Hydraulic Structures from the University of Tabriz, Iran 🇮🇷, where he specialized in vibration control and fluid-structure interaction 🌊🏗️. He also holds a B.S. in Civil Engineering from Azarbaijan Shahid Madani University, focusing on structural design and earthquake engineering 🏛️🌍. His academic journey showcases a solid foundation in structural mechanics, coupled with advanced analytical techniques and interdisciplinary knowledge, preparing him for high-level research in modern mechanical and civil engineering domains. His global education trajectory reflects both depth and diversity in the fields of engineering and applied sciences 📚🧠.

💼 Professional Experience

Dr. Sina Safari has built a rich professional portfolio across academia, industry, and research sectors 🌐. Currently a Senior Research Associate at the University of Bristol 🇬🇧, he contributes to the SINDRI Partnership with EDF on data-driven structural integrity assessment 🧪🔧. Previously, he served as a postdoctoral researcher at Bournemouth University, leading fellowship bids and industrial consultancy projects. His earlier roles include research assistantships, teaching assistant positions at the University of Exeter, and engineering roles in Iran 🏗️. From MATLAB instruction to technical site engineering and structural design, his career spans hands-on construction to high-impact computational research. With consistent involvement in collaborative, cross-disciplinary environments, Dr. Safari combines engineering intuition, academic rigor, and project leadership, bridging the gap between traditional structural mechanics and modern computational intelligence 🤝💡.

🔬 Research Interests

Dr. Safari’s research is driven by a passion for solving complex engineering problems through intelligent modeling and data science 🚀📊. His core interests include nonlinear system identification, structural dynamics, fatigue testing, and multiscale modeling of materials and assemblies 🧩⚙️. He integrates machine learning and artificial intelligence—especially physics-informed neural networks and recurrent neural operators—into engineering workflows for predictive diagnostics and design optimization 🤖🛠️. Additionally, he works on shape optimization, vibration-based structural health monitoring, and uncertainty quantification of bolted joints. His research aligns with pressing challenges in aerospace, nuclear, and civil sectors, contributing toward digital twins and smart engineering systems. With a balance of experimental insight and data-driven innovation, Dr. Safari is advancing the frontier of next-generation materials and structures 🏗️📐🔍.

🏅 Awards and Honors

Dr. Sina Safari was awarded a fully funded Ph.D. studentship at the University of Exeter, recognizing his potential in advanced structural dynamics research 🎓🌟. He is a recipient of the prestigious UK Global Talent Visa, which honors individuals making significant contributions to science and innovation on an international scale 🌍🏆. His selection as a key researcher within UK-funded initiatives like the SINDRI and ADDISONIC projects reflects peer recognition of his scientific excellence and leadership. Moreover, his roles in winning and leading high-level fellowship proposals, including submissions to the Royal Academy of Engineering and Leverhulme Trust, highlight his proactive contribution to competitive research landscapes 🧪📜. These accolades underscore Dr. Safari’s outstanding scholarly impact, cross-border relevance, and dedication to transformative engineering research 💡🌐.

🛠️ Research Skills

Dr. Safari possesses a robust arsenal of technical and analytical skills that empower his research in both experimental and computational domains 🧠💻. He is proficient in MATLAB, Simulink, Python, LabVIEW, and C programming for advanced simulations and modeling tasks 📊🔬. His expertise spans finite element tools such as ABAQUS, ANSYS, OpenSees, and SAP2000, enabling precise modeling of complex materials and assemblies 🏗️🧪. Skilled in vibration testing, signal processing (using tools like MEscope, SeismoSignal), and data analysis, he tackles problems in structural health monitoring and nonlinear dynamics with confidence 📉📈. His experience also includes digital image correlation, machine learning implementation, and optimization techniques for structural design. With strong communication and collaborative research project management, Dr. Safari demonstrates both technical depth and practical innovation across multiple domains 🧰📘.

📝Publications Top Note

  • Parametric Study of Stochastic Seismic Responses of Base-Isolated Liquid Storage Tanks under Near-Fault and Far-Fault Ground Motions
    Authors: S. Safari, R. Tarinejad
    Year: 2018
    Citations: 38
    Published in: Journal of Vibration and Control, Vol. 24, Issue 24, pp. 5747–5764

  • Estimation of Inelastic Displacement Ratio for Base-Isolated Structures
    Authors: S. Yaghmaei-Sabegh, S. Safari, K.A. Ghayouri
    Year: 2018
    Citations: 28
    Published in: Earthquake Engineering & Structural Dynamics, Vol. 47, Issue 3, pp. 634–659

  • Direct Optimisation-Based Model Selection and Parameter Estimation Using Time-Domain Data for Identifying Localised Nonlinearities
    Authors: S. Safari, J.M.L. Monsalve
    Year: 2021
    Citations: 19
    Published in: Journal of Sound and Vibration, Vol. 501, Article 116056

  • Data-Driven Structural Identification of Nonlinear Assemblies: Structures with Bolted Joints
    Authors: S. Safari, J.M.L. Monsalve
    Year: 2023
    Citations: 18
    Published in: Mechanical Systems and Signal Processing, Vol. 195, Article 110296

  • Characterization of Ductility and Inelastic Displacement Demand in Base-Isolated Structures Considering Cyclic Degradation
    Authors: S. Yaghmaei-Sabegh, S. Safari, K.A. Ghayouri
    Year: 2019
    Citations: 18
    Published in: Journal of Earthquake Engineering, Vol. 23, Issue 4, pp. 557–591

  • Benchmarking of Optimisation Methods for Model Selection and Parameter Estimation of Nonlinear Systems
    Authors: S. Safari, J.L. Monsalve
    Year: 2021
    Citations: 4
    Published in: Vibration, Vol. 4, Issue 3, pp. 648–665

  • Nonlinear Function Selection and Parameter Estimation of Structures with Localised Nonlinearities – Part I: Numerical Analysis
    Authors: S. Safari, J.M.L. Monsalve
    Year: 2020
    Citations: 3
    Published in: Nonlinear Structures and Systems, Proceedings of the 38th IMAC Conference on Structural Dynamics

  • Data-Driven Structural Identification of Nonlinear Assemblies: Asymmetric Stiffness and Damping Nonlinearities
    Authors: S. Safari, J.M.L. Monsalve
    Year: 2025
    Citations: 2
    Published in: Mechanical Systems and Signal Processing, Vol. 222, Article 111745

  • Importance of Virtual Sensing and Model Reduction in the Structural Identification of Bolted Assemblies
    Authors: S. Safari, J.M. Londoño Monsalve
    Year: 2023
    Citations: 1
    Published in: Proceedings of the Society for Experimental Mechanics Annual Conference, pp. 33–36

  • Statistical Calibration of Ultrasonic Fatigue Testing Machine and Probabilistic Fatigue Life Estimation
    Authors: S. Safari, D. Montalvão, P.R. da Costa, L. Reis, M. Freitas
    Year: 2025
    Published in: International Journal of Fatigue (under review), Article 109028

  • Data-Driven Structural Identification of Nonlinear Assemblies: Uncertainty Quantification
    Authors: S. Safari, D. Montalvão, J.M.L. Monsalve
    Year: 2025
    Published in: International Journal of Non-Linear Mechanics, Vol. 170, Article 105002

  • A New Design for Mitigating Interfering Modes in Cruciform Specimens to Enhance Ultrasonic Fatigue Testing
    Authors: D. Montalvão, S. Safari, W. Chidzikwe, P. Sewell, P. Costa, L. Reis, M. Freitas
    Year: 2025
    Published in: Procedia Structural Integrity, Vol. 68, pp. 472–479

📘 Conclusion

Dr. Sina Safari is a forward-thinking, globally engaged researcher whose work bridges structural mechanics and intelligent computing 🤝🧠. With a solid foundation in civil and mechanical engineering, advanced training in nonlinear system dynamics, and cutting-edge applications of AI/ML in modeling and diagnostics, he exemplifies the modern multidisciplinary engineer of the future 🌐🔧. His dedication to scientific innovation, impactful teaching, and international collaboration positions him as a strong leader in the evolving fields of smart structures and material intelligence 🏆📡. As he continues his journey at the University of Bristol and beyond, Dr. Safari is poised to make transformative contributions to digital engineering, helping shape a safer, smarter, and more sustainable world 🌍⚙️🔍.

Huping Mao | Control Theory | Best Researcher Award

Posted on by Math Scientist

Assoc. Prof. Dr. Huping Mao | Control Theory | Best Researcher Award

Associate Professor at North University of China, China

Dr. Huping Mao 🎓, an Associate Professor at North University of China 🇨🇳, is a dynamic force in the realms of active vibration control, frequency response optimization, and artificial intelligence 🤖. Earning his Ph.D. from the prestigious Huazhong University of Science and Technology, he has rapidly built a reputation through impactful research, publishing four first-author papers 📚—two in Q1 journals and one in Q2—demonstrating both depth and innovation. His contributions, such as advanced eigenstructure assignment methods and spectral element modeling, bridge theory and engineering practice 🛠️. With a book publication 📖 and active collaborations under his belt, Dr. Mao continues to expand his academic reach. Although early in citation influence and industry engagement, his trajectory shows promise 🚀. Passionate about pushing boundaries and solving real-world problems, Dr. Mao is not just a scholar—he’s a visionary ready to shape the future of intelligent systems 💡🔧.

Professional Profile 

Scopus Profile
ORCID Profile

Education 🎓📘

Dr. Huping Mao’s academic journey is rooted in excellence and curiosity. He earned his Ph.D. from the renowned Huazhong University of Science and Technology, a cradle for technical brilliance in China. During his doctoral studies, he cultivated a strong foundation in dynamic systems, control engineering, and applied mathematics 🔍. His passion for research ignited early and was nurtured through rigorous training and academic exploration 📚. With a clear focus on engineering innovation, Dr. Mao developed expertise that spans both theory and real-world application. His educational background reflects a balance of deep learning and scientific vision, laying a solid path for impactful scholarly contributions 🧠✨.

Professional Experience💼

Currently serving as an Associate Professor at North University of China, Dr. Mao blends research intensity with academic mentorship. Over the years, he has contributed significantly to teaching and curriculum development, guiding students through the complexities of control systems and intelligent engineering 🛠️. His classroom is not just a place of lectures but a hub of inspiration, fostering critical thinking and innovation 🧑‍🎓. Beyond teaching, he’s actively involved in project supervision and collaborative research, embodying the role of both educator and investigator. With a career shaped by discipline and discovery, Dr. Mao continues to drive academic excellence and motivate the next generation of thinkers 🚀👨‍🏫.

Research Interest 🔬🤖

Dr. Mao’s research is at the fascinating intersection of control theory, mechanical vibrations, and artificial intelligence. His interests revolve around active vibration control, where he explores smarter ways to stabilize complex systems, and frequency response optimization, enhancing the performance of mechanical structures ⚙️. His innovative application of the spectral element method to dynamic analysis reflects a desire to merge classical techniques with modern computational tools 💡. Passionate about applying AI in engineering contexts, he’s carving new paths where machines think—and react—smarter. Dr. Mao’s research doesn’t just live in labs; it’s aimed at improving real-world systems, from vehicles to robotics, in ways that are both intelligent and efficient 🤯🧠.

Awards and Honors 🏅📜

While still in the ascent of his academic journey, Dr. Mao has already received recognition for his scholarly pursuits. Publishing in Q1 and Q2 journals is no small feat—it marks him as a researcher with high impact and global relevance 🌍. His book publication with an official ISBN further underscores his role as a thought leader and contributor to academic literature 📖. Though formal accolades and honorary titles may be few at this stage, the quality and depth of his contributions speak volumes. With his trajectory, it’s only a matter of time before awards and honors follow the trail of his ideas. Dr. Mao is a rising star, illuminating the path of research with each step forward 🌟🧾.

Conclusion 🧭🌟

Dr. Huping Mao is more than a researcher—he’s a catalyst for innovation, a mentor, and a lifelong learner. With a robust academic background, meaningful teaching experience, and forward-thinking research, he’s helping shape the future of intelligent engineering systems 🚀🔍. While he continues to build citation impact and expand into industry collaboration, the foundations of excellence, curiosity, and contribution are firmly in place. Whether through his papers, his classroom, or his evolving ideas, Dr. Mao exemplifies the spirit of modern scholarship—bold, collaborative, and driven by purpose 🌐💼. The future holds vast potential, and Dr. Mao is undoubtedly on a path to achieving even greater heights in academia and beyond 🏆🌱.

Publications Top Notes

📘 Title: Vibration PID Control Design by Receptance-Based Partial Eigenstructure Assignment

  • Authors: Huping Mao, Yulong Du

  • Year: 2025 📅

  • Source: Applied Mathematical Modelling 📚

📗 Title: Partial Eigenstructure Assignment of the Vibration System Based on Multi-Input PID Active Control

  • Authors: Huping Mao, Yulong Du

  • Year: 2024 📅

  • Source: Journal of Vibration and Control (JVC) 🛠️

🎤 Title: Advancing Automobile Active Suspension Control: An Empirical Study on the Soft Actor-Critic Algorithm

  • Authors: Zhao Wang, Changzhao Xu, Da Han, Yang Yu, Huping Mao

  • Year: 2024 (Conference Paper) 🗓️

  • Citations: 1 📈

  • Source: Conference Proceedings 🎓

 

Shenzhou Zheng | Differential Equations | Best Researcher Award

Posted on by Math Scientist

Prof. Shenzhou Zheng | Differential Equations | Best Researcher Award

Professor at Beijing Jiaotong University, China

Prof. Shenzhou Zheng 🌟 is a distinguished mathematician whose groundbreaking contributions in nonlinear analysis, partial differential equations, and functional analysis have shaped the modern mathematical landscape. With a visionary mind and tireless dedication, he has authored over 100 high-impact research papers 📚 in top-tier journals, inspiring generations of scholars worldwide. A beacon of innovation 🔬, Prof. Zheng’s work seamlessly bridges deep theory with real-world applications, making waves in science and engineering alike. He holds prestigious academic positions and has been a keynote speaker 🎤 at numerous international conferences, earning accolades for his clarity and insight. Beyond his brilliance in research, he is also celebrated as a passionate mentor 👨‍🏫, guiding young talents toward excellence. Prof. Zheng’s legacy is not just in theorems and equations, but in the lives he touches through knowledge, curiosity, and the relentless pursuit of truth. Truly, a titan in mathematics whose impact echoes far and wide 🌐.

Professional Profile 

Scopus Profile
ORCID Profile 

🎓 Education

Prof. Shenzhou Zheng embarked on his mathematical journey with unmatched zeal, earning his degrees from top-tier institutions that nurtured his early brilliance 🌟. He obtained his Ph.D. in Mathematics from the prestigious Sun Yat-sen University 🇨🇳, where his passion for rigorous problem-solving took root. With an academic foundation grounded in analytical precision and creative exploration, Prof. Zheng continued to sharpen his expertise through postdoctoral research and academic collaborations across continents 🌍. His educational path reflects not just formal achievement but a lifelong love for learning, logic, and abstract beauty. Guided by curiosity and perseverance 🧠, his scholarly formation set the stage for a remarkable career defined by innovation, mentorship, and global impact. From chalkboards to conferences, Prof. Zheng’s educational journey shines as a model of scholarly pursuit and intellectual excellence 📘.

💼 Professional Experience

Prof. Shenzhou Zheng has carved a luminous path through academia with a career rich in leadership, discovery, and teaching excellence 👨‍🏫. He currently holds a distinguished professorial role at Sun Yat-sen University, contributing dynamically to both the theoretical and applied realms of mathematics. Over the years, he has served in various prestigious academic posts, influencing curriculum development, fostering interdisciplinary research, and mentoring a new generation of mathematicians 🌐. His collaborations with leading international scholars and institutions have produced cutting-edge results and fostered vibrant global exchanges ✈️. Prof. Zheng is also an editorial board member for esteemed mathematical journals 📝, a testament to his authority in the field. Through his unwavering commitment to excellence and innovation, he has cultivated an academic legacy that resonates across classrooms, conferences, and research centers alike 🌟.

🔬 Research Interest

At the heart of Prof. Shenzhou Zheng’s illustrious career lies a deep and passionate commitment to research 🔍. His primary interests span nonlinear analysis, functional analysis, and partial differential equations, where his insights have illuminated complex mathematical landscapes like a guiding star 🌠. He dives into the intricacies of nonlinear phenomena, stability analysis, and variational methods with remarkable clarity, solving problems that challenge even the sharpest minds. His work not only advances pure theory but also holds real-world significance—impacting physics, engineering, and computational modeling 🔧. With over 100 impactful publications, Prof. Zheng continues to push the boundaries of knowledge, transforming abstract questions into tangible advancements 🧩. His research is a harmonious blend of elegance and depth, driven by curiosity and executed with precision, making him a pioneer in the modern mathematical arena 📐.

🏅 Awards and Honors

Prof. Shenzhou Zheng’s brilliance has been recognized with a constellation of awards and honors 🌟 that highlight both his scholarly excellence and global influence. His innovative contributions have earned him national and international accolades, including distinguished research awards 🏆 and invitations to serve as a keynote speaker at elite academic forums. He has been honored by leading mathematical societies and praised for his outstanding mentorship, editorial service, and transformative research 📣. Whether being celebrated for a landmark publication or applauded for leadership in collaborative projects, Prof. Zheng’s trophy shelf reflects a career of relentless excellence and dedication 🎖️. His name is synonymous with quality, innovation, and academic integrity—a living testament to how passion for mathematics can shape and inspire entire communities 💡.

Conclusion

Prof. Shenzhou Zheng is more than a mathematician—he is a visionary, a mentor, and a global ambassador of mathematical excellence 🌏. Through his groundbreaking research, impactful teaching, and inspirational leadership, he has built a legacy that transcends borders and disciplines 🧭. His journey from a curious student to a renowned scholar showcases the power of persistence, precision, and passion 🎯. Whether in the lecture hall, the research lab, or the pages of international journals, his influence continues to ripple through the mathematical world. As he forges ahead, unlocking new dimensions of knowledge, Prof. Zheng remains a beacon 🔥 for aspiring mathematicians and a pillar of the global academic community. In every sense, his story is a symphony of intellect, dedication, and profound impact—a masterpiece still in progress 🎶.

Publications Top Notes

🔹 Title: Higher Fractional Differentiability for Solutions to Parabolic Equations with Double-Phase Growth
 👨‍🔬 Authors: Lijing Zhao & Shenzhou Zheng
 📅 Year: 2025
 📚 Source: Nonlinear Analysis: Real World Applications
 ✨ Note: Explores advanced smoothness in parabolic PDEs with double-phase growth! 🌊📐

🔹 Title: Higher Differentiability for Minimizers of Variational Obstacle Problems with Orlicz Growth
 👨‍🔬 Authors: Lijing Zhao & Shenzhou Zheng
 📅 Year: 2025
 📚 Source: Journal of Mathematical Analysis and Applications
 🧩 Note: Deep insights into Orlicz growth in obstacle variational problems! 🧠🔍

🔹 Title: On the Number of Normalized Solutions for a Fractional Schrödinger Problem with Logarithmic Nonlinearity
 👨‍🔬 Authors: Xiaolu Lin & Shenzhou Zheng
 📅 Year: 2025
 📚 Source: Communications in Nonlinear Science and Numerical Simulation
 💡 Note: Fractional Schrödinger equation meets quantum nonlinearity! ⚛️🌌

🔹 Title: Qualitative Uncertainty Principles for the Nonisotropic Angular Stockwell Transforms
 👨‍🔬 Authors: Xinyu Wang & Shenzhou Zheng
 📅 Year: 2025
 📚 Source: Mathematical Methods in the Applied Sciences
 🎯 Note: Angular transforms redefine uncertainty principles! 🔭🎶

🔹 Title: On a Schrödinger Equation Involving Fractional (N/s₁, q)-Laplacian with Critical Growth and Trudinger–Moser Nonlinearity
 👨‍🔬 Authors: Huilin Lv & Shenzhou Zheng
 📅 Year: 2024
 🔢 Citations: 1
 📚 Source: Communications in Nonlinear Science and Numerical Simulation
 🚀 Note: Blends critical growth and fractional quantum analysis! 🌠📊

🔹 Title: The Solvability and Regularity Results for Elliptic Equations Involving Mixed Local and Nonlocal p-Laplacian
 👨‍🔬 Authors: Jiaxiang Zhang & Shenzhou Zheng
 📅 Year: 2024
 🔢 Citations: 1
 📚 Source: Journal of Elliptic and Parabolic Equations
 🧮 Note: Local meets nonlocal—unraveling elliptic mysteries! ⚖️📈

🔹 Title: On Benedicks–Amrein–Berthier Uncertainty Principles for Continuous Quaternion Wavelet Transform
 👨‍🔬 Authors: Xinyu Wang & Shenzhou Zheng
 📅 Year: 2024
 🔢 Citations: 2
 📚 Source: Mathematical Methods in the Applied Sciences
 🌀 Note: A quaternionic twist on classic wavelet uncertainty! 🎨🔁

🔹 Title: Tighter Uncertainty Principles Associated with the Non-Isotropic Angular Stockwell Transform
 👨‍🔬 Authors: Xinyu Wang & Shenzhou Zheng
 📅 Year: 2024
 🔢 Citations: 2
 📚 Source: Circuits, Systems, and Signal Processing
 🎼 Note: Fine-tuning precision in signal processing frameworks! 📡🛠️

🔹 Title: Boundedness for the Chemotaxis System in a Flux Limitation with Indirect Signal Production
 👨‍🔬 Authors: Huilin Lv & Shenzhou Zheng
 📅 Year: 2024
 📚 Source: Journal of Mathematical Analysis and Applications
 🧬 Note: Mathematical modeling of biological signal behaviors! 🌿⚗️

🔹 Title: Besov Regularity for a Class of Elliptic Obstacle Problems with Double-Phase Orlicz Growth
 👨‍🔬 Authors: Lijing Zhao & Shenzhou Zheng
 📅 Year: 2024
 🔢 Citations: 4
 📚 Source: Journal of Mathematical Analysis and Applications
 📏 Note: An elegant blend of Besov spaces and Orlicz techniques! 🧗‍♂️🧾